Semiconductor Optoelectronics, Volume. 42, Issue 6, 931(2021)

Stereo Matching Based on Guided Filtering and Disparity Map Fusion

LU Mingjun and YE Bing
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    References(6)

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    [3] [3] Xiao X W, Guo B X, Li D R, et al. Multi-view stereo matching based on self-adaptive patch and image grouping for multiple unmanned aerial vehicle imagery[J]. Remote Sensing, 2016. 8(2): 89-119.

    [4] [4] Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[J]. Inter. J. of Computer Vision, 2002, 47(1-3): 7-42.

    [5] [5] Yoon K J, Kweon I S. Adaptive support-weight approach for correspondence search[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2006, 28(4): 650-656.

    [6] [6] Hosni A, Rhemann C, Bleyer M, et al. Fast cost-volume filtering for visual correspondence and beyond[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2013, 35(2): 504-511.

    [10] [10] Mei X, Sun X, Zhou M, et al. On building an accurate stereo matching system on graphics hardware[C]// IEEE Inter. Conf. on Computer Vision Workshops, 2011: 467-474.

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    LU Mingjun, YE Bing. Stereo Matching Based on Guided Filtering and Disparity Map Fusion[J]. Semiconductor Optoelectronics, 2021, 42(6): 931

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    Paper Information

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    Received: Mar. 30, 2021

    Accepted: --

    Published Online: Feb. 14, 2022

    The Author Email:

    DOI:10.16818/j.issn1001-5868.2021033005

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